
Clinical AI that accelerates health plan transformation from proof of concept to proof of result.
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Anterior achieves 99.24% clinical accuracy, which is KLAS-verified, by building healthcare-native and AI-native solutions. The AI is designed with pre-defined failure mode ontologies and incorporates human-in-the-loop collaboration, where clinicians guide, review, and refine AI reasoning to ensure medical accuracy.
Health plans can expect to see ROI from day one, with reported benefits including an 85% elimination of baseline administrative costs, a 56% reduction in staff burden time, and a 76% increase in auto-approvals for prior authorizations. The solution also reduces the average time-to-approval to 182 seconds.
Yes, Anterior is built as a FHIR-native, API-first platform designed for seamless integration with existing payer systems like HealthEdge and MCG. This allows for scalability without disrupting current workflows and ensures interoperability.
Anterior's prior authorization solution is designed for affirmative decision-making, evaluating all clinical pathways for approval and is never authorized to deny, delay, or modify patient care. If a definitive path to approval is not found with the provided evidence, the decision is always escalated to a clinician for review.
Actions are modular AI tasks that are precise, purpose-built, and apply to any health plan workflow. They are designed to perform complex clinical tasks with 90%+ performance benchmarks out of the box, covering functions like gathering information, verifying data, preparing structured outputs, reasoning, summarizing, and connecting information across teams.
Yes, Anterior is built with healthcare-grade security and compliance in mind. It adheres to rigorous healthcare standards, is FHIR-native, and provides full explainability and auditability with immutable audit and AI reasoning logs, ensuring transparency and trust.
Source: anterior.com